Data and Modeling Analyst

Why Eurobank?

Are you enthusiastic about having a positive impact and working with a great team?

Join us at Eurobank where Prosperity needs Pioneers! You will belong in a banking community that drives innovation, strives to exceed customers’ expectations, commits to sustainable practices, and combines global insights with local expertise to deliver exceptional value to all our stakeholders. Take advantage of multiple learning & development opportunities, flexible work arrangements, and a workplace where you will feel valued and respected!

But hold on! We’re looking for more than just a great CV: We’re looking for your unique personality. 

Apply today and be part of a team as unique as you!

Position Overview

We are seeking a Data and Modeling Analyst with hands-on SQL & Python experience to join our Risk Analytics Unit within the Risk Management General Division. This role is central to advancing the Bank’s capabilities in data-driven risk analysis, supporting a wide range of specialized analytics initiatives across risk domains.

As a key member of the Risk Analytics team, you will support the development and automation of advanced analytics solutions, including dashboards & models. Your work will support both strategic decision-making and regulatory compliance, with a strong emphasis on technical proficiency in data engineering, statistical modeling, and visualization.

Your key responsibilities will be:

• Design, develop, and maintain advanced analytics solutions using SQL, Python and other relevant tools
• Collaborate with stakeholders to gather reporting requirements and translate business needs into effective data solutions that enhance their ability to make data-driven decisions
• Develop and maintain dashboards and reports for internal and regulatory use
• Apply statistical and machine learning techniques to support risk quantification and scenario analysis
• Contribute to the continuous improvement of data infrastructure, analytics methodologies and innovation

You will be a great candidate if you:

• Have a minimum of 3 years of relevant experience in data analytics, risk modeling, or a related technical field
• Hold a University degree in Data Science, Statistics, Computer Science, Engineering, Finance, or a related discipline
• Are proficient in SQL and Python for data manipulation, analysis, and automation
• Possess strong knowledge of data modeling, statistical analysis, and machine learning techniques
• Have experience working with large datasets and data warehousing solutions
• Understand risk management frameworks and non-financial and financial risk concepts (not mandatory)
• Are fluent in English and Greek, with excellent communication skills
• Demonstrate strong analytical thinking, problem-solving, and project management skills
• Are detail-oriented, organized, and capable of working independently or in teams

What’s in it for you:

• Competitive remuneration
• Hybrid work: work-life balance through remote and in-office work  
• Learning & Development: 

• • Access Unlimited LinkedIn Learnings, international training methodologies 
  • Upskilling, Professional development and career guidance from successful executives
  • Identification and Utilization of Talent Pool through a structured Talent Management process    

• Wellbeing: 

• • Premium Health & Life insurance for you, your partner and/or your family and mental health support
  • Pension plan to support your plans and future financial expectations
  • Team building & wellbeing activities
  • Potential Extra days of annual leave (Winter Bonus)    
  • Engage in volunteering activities through our TeamUp program

• Extra Benefits:

• • Exclusive discounts at partner stores
  • Staff pricing for banking products 
  • Nursery and summer camp allowance for your little ones 

Join us!

If you think you are the right fit for this role, we'd like to hear from you! Apply by 10/09/2025

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At Eurobank we are committed to providing equal employment opportunities and prohibit all forms of discrimination. All applicants will be treated fairly and with the utmost confidentiality.